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Trade

sell - MOCA

Status
win
2025-03-31 08:54:24
25 minutes
PNL
1.31
Entry: 0.08386
Last: 0.08280000

Results

Status:
win
Trade Type:
sell
Prediction Score:
Prediction 1 Accuracy
n/a
Prediction 2 Accuracy
n/a
ML Trade Score: 60

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.06
  4. atr: 0.000489431
Details
  1. score: 1.06
  2. long_trend_details
  3. ema9 - 0.0855323
  4. ema21 - 0.0881819
  5. ema50 - 0.0906931
  6. ema9_ema21_diff - -3.0047
  7. ema21_ema50_diff - -2.76889
  8. ema9_ema50_diff - -5.6904
  9. price_ema21_diff - -4.90121
  10. all_emas_in_trend - True
  11. all_emas_and_price_in_trend - True
    12. ¸

Short Trade on MOCA

The 31 Mar 2025 at 08:54:24

With 10900 MOCA at 0.08386$ per unit.

Position size of 913.8 $

Take profit at 0.08276 (1.3 %) and Stop Loss at 0.08459 (0.87 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -15.56 %

Symbol Start at Seach Score Trade Score Trades Count
ENA 2025-05-05 23:41:00 0.9488 30 2
XRP 2025-05-28 17:25:18 0.949 -100 1
PAXG 2025-04-04 16:32:00 0.9464 60 1
WIF 2025-06-06 20:45:57 0.9433 -100 3
BMT 2025-06-29 17:15:02 0.9418 -100 2
SOL 2025-04-05 15:01:38 0.9433 -90 1
RAY 2025-06-20 04:11:03 0.9426 30 1
DMC 2025-07-03 04:24:17 0.9413 30 1
BCH 2025-04-06 21:22:15 0.9403 100 2

📌 Time Data

Start at Closed at Duration
31 Mar 2025
08:54:24		 31 Mar 2025
09:20:00		 25 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.08386 0.08459 0.08276 1.5 0.08767
Details
Click the "Sign Up" button in the top right corner and follow the registration process.

Pour calculer le Risk-Reward Ratio (RRR) sur un trade short, on utilise la formule :

RRR = Distance jusqu'au Take Profit ÷ Distance jusqu'au Stop Loss

Détails du trade:

  • Entry 0.08386
  • Stop Loss: 0.08459
  • Take Profit: 0.08276

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.08459 - 0.08386 = 0.00072999999999999

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.08386 - 0.08276 = 0.0011

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0011 / 0.00072999999999999 = 1.5068

📌 Position Size

Amount Margin Quantity Leverage
913.8 913.8 10900 9.14
Details

1. Déterminer le montant risqué sur ce trade

Risk Amount = Capital x Risk per trade

Paramètres:

  • Account Size 100
  • Risk per trade 8 %

Risk Amount = 100 x 0.08 = 8

Donc, tu es prêt à perdre 8$ maximum sur ce trade

2. Calcul Risk per Share / Nombre d'unité à acheter

Taille de position = Risk Amount / Distance Stop Loss

Taille de position USD = Taille de position x Entry Price

Paramètres:

  • Risk Amount 8
  • Distance Stop Loss 0.00072999999999999

Taille de position = 8 / 0.00072999999999999 = 10958.9

Taille de position USD = 10958.9 x 0.08386 = 919.01

Donc, tu peux acheter 10958.9 avec un stoploss a 0.08459

Avec un position size USD de 919.01$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 10958.9 x 0.00072999999999999 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 10958.9 x 0.0011 = 12.05

Si Take Profit atteint, tu gagneras 12.05$

Résumé

  • Taille de position 10958.9
  • Taille de position USD 919.01
  • Perte potentielle 8
  • Gain potentiel 12.05
  • Risk-Reward Ratio 1.5068

📌 Peformances

TP % Target TP $ Target
1.3 % 12 $
SL % Target SL $ Target
0.87 % 8 $
PNL PNL %
12 $ 1.31
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.66746126340881 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.0824
            [stop_loss] => 0.08459
            [rr_ratio] => 2
            [closed_at] => 2025-03-31 09:30:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.082035
            [stop_loss] => 0.08459
            [rr_ratio] => 2.5
            [closed_at] => 2025-03-31 09:30:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.08167
            [stop_loss] => 0.08459
            [rr_ratio] => 3
            [closed_at] => 2025-03-31 09:30:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.081305
            [stop_loss] => 0.08459
            [rr_ratio] => 3.5
            [closed_at] => 2025-03-31 11:20:00
            [result] => loss
        )

    [4] => Array
        (
            [take_profit] => 0.08094
            [stop_loss] => 0.08459
            [rr_ratio] => 4
            [closed_at] => 2025-03-31 11:20:00
            [result] => loss
        )

    [4.5] => Array
        (
            [take_profit] => 0.080575
            [stop_loss] => 0.08459
            [rr_ratio] => 4.5
            [closed_at] => 2025-03-31 11:20:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 0.08021
            [stop_loss] => 0.08459
            [rr_ratio] => 5
            [closed_at] => 2025-03-31 11:20:00
            [result] => loss
        )

    [5.5] => Array
        (
            [take_profit] => 0.079845
            [stop_loss] => 0.08459
            [rr_ratio] => 5.5
            [closed_at] => 2025-03-31 11:20:00
            [result] => loss
        )

    [6] => Array
        (
            [take_profit] => 0.07948
            [stop_loss] => 0.08459
            [rr_ratio] => 6
            [closed_at] => 2025-03-31 11:20:00
            [result] => loss
        )

    [6.5] => Array
        (
            [take_profit] => 0.079115
            [stop_loss] => 0.08459
            [rr_ratio] => 6.5
            [closed_at] => 2025-03-31 11:20:00
            [result] => loss
        )

    [7] => Array
        (
            [take_profit] => 0.07875
            [stop_loss] => 0.08459
            [rr_ratio] => 7
            [closed_at] => 2025-03-31 11:20:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)